Aneta Neumann

Aneta Neumann serves as a Researcher at the University of Adelaide's School of Computer Science, where she has established herself as an expert in bio-inspired computation and evolutionary algorithms. Her research spans artificial intelligence, machine learning, and evolutionary computation with a focus on dynamic and stochastic multi-objective optimization for real-world problems in mining, renewable energy, defense, cybersecurity, and public health. She co-chairs the Genetic Algorithms track at GECCO 2024-23 and previously served as co-chair of the Real-World Applications track at GECCO 2022-21. Her groundbreaking work in evolutionary image transition and animation has bridged computational creativity with artificial intelligence, leading to exhibitions of her mixed media artworks inspired by her research. Beyond her primary research, she contributes to education as a co-designer and co-lecturer for the Big Data Fundamentals MOOC in the Big Data MicroMasters® program. Her innovative work in human-interactive EEG-based evolutionary image animation and quality diversity optimization has earned her multiple accolades, including the Hans-Juergen and Marianna Ohff Research Grant and an ACM-W scholarship sponsored by major tech companies.